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accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE37418
Novel mutations target distinct subgroups of medulloblastoma.
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. To identify mutations that drive medulloblastoma we sequenced the entire genomes of 37 tumours and matched normal blood. One hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma: several target distinct components of the epigenetic machinery in different disease subgroups, e.g., regulators of H3K27 and H3K4 trimethylation in subgroup-3 and 4 (e.g., KDM6A and ZMYM3), and CTNNB1-associated chromatin remodellers in WNT-subgroup tumours (e.g., SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours, identified genes that maintain this cell lineage (DDX3X) as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumourigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.

Publication Title

Novel mutations target distinct subgroups of medulloblastoma.

Sample Metadata Fields

Sex

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accession-icon SRP065612
Predicting microRNA targeting efficacy in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

A series of transfections was performed in Drosophila S2 cells to explore: 1) the types of target sites that Drosophila microRNAs recognize, 2) the relative functional efficacy of these sites in mediating repression, and 3) the determinants that allow some sites to have greater potency than others. 3p-seq was also performed to help reannotate and quantify the landscape of 3'' UTRs in Drosophila S2 cells. Overall design: Nine mRNA profiles were generated, with Drosophila S2 cells transfected with one of 6 microRNAs (miR-1, miR-4, miR-92a, miR-124, miR-263a, and miR-997). These samples were compared to 3 biological replicates of a mock transfection condition. 3p-seq data for S2 cells was also generated to help reannotate and quantify 3'' UTR isoforms.

Publication Title

Predicting microRNA targeting efficacy in Drosophila.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE38528
A Validated Gene Signature from Peripheral Blood Mononuclear Cells in Pulmonary Hypertension Associated with Sickle Cell Disease
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Pulmonary hypertension (PH) is a serious complication of sickle cell disease (SCD) associated with increased mortality. Gene expression profiles of peripheral blood mononuclear cells (PBMC) have been studied in pulmonary arterial hypertension and in SCD. We hypothesized that a PBMC-derived gene signature in SCD patients may be utilized as a PH biomarker. Twenty-seven patients with homozygous SCD underwent transthoracic echocardiography and PBMC isolation. PH was defined as estimated right ventricular systolic pressure (RVSP)>30 mmHg with a peak tricuspid regurgitation velocity (TRV)>2.5m/s. Genome-wide gene expression profiles were correlated against PH severity using RVSP and TRV as surrogates, which yielded 631 potentially dysregulated transcripts.

Publication Title

A novel molecular signature for elevated tricuspid regurgitation velocity in sickle cell disease.

Sample Metadata Fields

Disease, Race

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accession-icon GSE46216
Role of glucocorticoids and an RNA binding protein (RBP) in early erythroid progenitors
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ZFP36L2 is required for self-renewal of early burst-forming unit erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE46108
Identification of transcripts bound by an RNA binding protein (RBP) in early erythroid progenitor using RNA-binding protein immunoprecipitation-microarray (RIP-Chip) experiment
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Early erythroid progenitors were isolated from mouse E14.5 fetal liver. After cell lysing, control IgG or RBP specific antibody were incubated with cell lysis. Immunoprecipitation followed by microarray experiments were carried out to identify transcripts that are immunoprecipitated by either control IgG or RBP specific antibody.

Publication Title

ZFP36L2 is required for self-renewal of early burst-forming unit erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE43088
Genome-wide expression of transcriptomes under waterlogging stress condition in subtropical maize
  • organism-icon Zea mays
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Genome-wide transcriptome analysis was performed to understand the expression pattern of transcriptomes in tolerant and susceptible subtropical maize genotypes under waterlogging stress condition.

Publication Title

Genome-wide expression of transcriptomes and their co-expression pattern in subtropical maize (Zea mays L.) under waterlogging stress.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE22787
Affymetrix HG-U133A 2.0 Expression data
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Expression .CEL files from Affymetrix HG-U133A 2.0 arrays using DNA from 14 human cell lines derived from metastasized melanoma

Publication Title

Differences in global gene expression in melanoma cell lines with and without homozygous deletion of the CDKN2A locus genes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP066012
RNA-Seq comparisons of gene expression profiles of epithelial and mesenchymal cells - HMLE, N8, N8-CTx
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We find that treating mesenchymal NAMEC8 cells with cholera toxin (CTx) to elevate intracellular cAMP levels and activate PKA induces a mesenchymal-to-epithelial transition whereby the cells assume an epithelial state (N8-CTx). NAMEC8 cells undergo epigenetic reprogramming triggered by active PHF2, a histone demethylase, which demethylates H3K9me2 and H3K9me3 regions of epithelial genes silencing in the mesenchymal state Overall design: Performing RNASeq with HMLE (immortalized human mammary epithelial cells), their mesenchymal CD44hi counterparts, NAMEC8 and the CTx-reverted versions of NAMEC8 a.k.a N8-CTx

Publication Title

Activation of PKA leads to mesenchymal-to-epithelial transition and loss of tumor-initiating ability.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25678
Expression Profiling of Erythroid Progenitors After MYB shRNA Knockdown
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MYB plays a critical role as a regulator of erythropoieisis. We have shown that MYB silences epsilon and gamma-globin expression in erythroid progenitors. We here examine erythroid cells at the basophilic erythroblast stage of differentiation with MYB shRNA or control lentiviral transduction prior to differentiation.

Publication Title

MicroRNA-15a and -16-1 act via MYB to elevate fetal hemoglobin expression in human trisomy 13.

Sample Metadata Fields

Specimen part, Treatment

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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